OpenAI首次用数据量化了“AI抹平岗位壁垒”的现象：分析逾80万条ChatGPT工作对话，发现43.5%的岗位特定查询实际指向其他职业任务，形成“任务交叉”，人们借AI跨越本职界限，插手相邻工种。其中，市场营销与工程任务交叉最频繁。
马斯克宣布将SpaceX自2002年积累的制造工艺、材料科学及星链硬件设计等海量工程数据，用于训练下一代Grok大模型，以打造更强AI。受出口管制限制，火箭发动机、制导控制等国防敏感技术已被严格剔除，确保合规。此举展现了其跨界整合尖端资源的能力。
Meta被曝禁止工程师使用Anthropic的Claude Code和OpenAI的Codex，此举揭开AI企业间“模型蒸馏”博弈序幕。蒸馏指利用强模型输出训练新模型，Meta的核心忧虑是防范对手通过员工使用竞品工具，间接获取数据或知识以复制优化自身模型。
Meta因士气低迷与裁员风波，撤回强制工程师加入AI训练组的要求，改由员工自主选择。此前公司调动七千人参与AI专项，却被批评工作类似流水线数据标注、缺乏挑战，引发强烈不满，政策转变旨在缓解内部矛盾。
AI引擎将复杂文档转化为可用数据，助力运营和工程团队秒级处理PDF工作流。
Openai
-
Input tokens/M
Output tokens/M
Context Length
Anthropic
$105
$525
200
$21
Google
$0.7
$2.8
1k
Alibaba
$6
$24
256
Moonshot
$4
$16
Bytedance
Baidu
32
Tencent
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